OBJECTIVE: To observe the clinical efficacy of Qihuang needle therapy for autism spectrum disorder (ASD) children with sleep disorder. METHODS: A total of 60 ASD children with sleep disorder were randomly divided into an observation group and a control group, 30 cases in each group. Both groups were treated with structured education intervention, 60 min each time, once a day, 6 times a week. Qihuang needle therapy was applied at Yintang (GV24⁺), Baihui (GV20) and bilateral Jueyinshu (BL14), Xinshu (BL15) in the observation group, multi-direction needling was delivered and without needle retaining. The treatment was given 2 times a week, each treatment was delivered at interval of 2 days at least. Behavioral intervention was adopted in the control group. Treatment for consecutive 12 weeks was required in both groups. Before and after treatment, the scores of children's sleep habits questionnaire (CSHQ), the autism behavior checklist (ABC), the childhood autism rating scale (CARS), and the childhood autism behavior scale (CABS) were observed in the two groups. RESULTS: After treatment, the scores of CSHQ, ABC, CARS and CABS were decreased compared with those before treatment (P<0.01), and the above scores in the observation group were lower than those in the control group (P<0.05). CONCLUSION Qihuang needle therapy can effectively treat ASD with sleep disorder, improve the core symptoms of ASD and the sleep quality.
Humans ; Autism Spectrum Disorder/physiopathology* ; Male ; Female ; Child ; Sleep Wake Disorders/physiopathology* ; Child, Preschool ; Acupuncture Therapy ; Acupuncture Points ; Treatment Outcome ; Sleep ; Needles

Objective:To analyze the accuracy of nine estimation methods for umbilical venous catheterization (UVC) insertion depth in neonates.Methods:This prospective study enrolled neonates who underwent successful UVC placement in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital between September 2023 and October 2024. The standard catheter tip position was defined as the junction of the inferior vena cava and right atrium, with a deviation of ≤0.5 cm considered accurate. Patients were stratified by birth weight (BW) into three groups: <1 500 g, 1 500- 2 499 g, and ≥2 500 g. The actual UVC depth was compared with depths estimated using nine methods: Shukla formula, modified Shukla formula, JSS formula, BW formula, Tambasco formula, modified Tambasco formula, Dunn's nomogram, body surface measurement, and ultrasonographic measurement. Accuracy was evaluated using nonparametric tests and Bland-Altman agreement analysis.Results:The study included 111 neonates: 41 (36.9%) in the <1 500 g group, 55 (49.6%) in the 1 500-2 499 g group, and 15 (13.5%) in the ≥2 500 g group. In the <1 500 g group, accuracy rates ranged from 24% to 56%, with body surface measurement showing the highest accuracy (56%); the mean difference from actual depth was－0.073 cm, with 95% limits of agreement (LOA) of－1.764 to 1.618 cm. In the 1 500-2 499 g group, accuracy rate ranged from 15% to 51%, with the modified Tambasco formula being most accurate (51%); the mean difference was 0.113 cm (95%LOA:－1.558-1.783 cm). In the ≥2 500 g group, accuracy rate ranged from 0/15 to 10/15, with Dunn's nomogram being most accurate (10/15); the mean difference was－0.120 cm (95%LOA:－1.380-1.140 cm).Conclusions:The accuracy of the nine UVC depth estimation methods varied across different BW groups and among methods within the same group. Selection of an estimation method should be tailored to the neonate's birth weight.

Objective:To investigate the risk factors and construct a nomogram prediction model for neonatal bacterial meningitis (BM).Methods:A retrospective cohort study was conducted on 1 228 neonates who underwent lumbar puncture for cerebrospinal fluid examination in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital from December 2019 to February 2024. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 7∶3 using a computer program. Rank sum test or Chi-square tests were used to compare differences between the two cohorts. The subjects were divided into BM and non-BM groups based on the presence or absence of BM. Multivariate logistic regression analysis (forward stepwise regression method) was used in the training cohort to identify risk factors for BM. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-of-fit test were used to assess the discrimination and calibration of the model, respectively. Calibration curves were used to evaluate the accuracy of the model and to construct the nomogram. Internal validation was performed using the Bootstrap resampling method. Decision curve analysis was used to assess the clinical utility of the model. Results:Among the 1 228 neonates, 151 (12.3%) had BM. The training cohort included 859 neonates, of whom 106 (12.3%) had BM and 753 (87.7%) did not. The validation cohort included 369 neonates, of whom 45 (12.2%) had BM and 324 (87.8%) did not. The results of the multivariate logistic regression analysis in the training cohort showed that sepsis ( OR=4.446, 95% CI:2.583-7.653), convulsions ( OR=3.749, 95% CI:1.930-7.280), high maximum body temperature ( OR=2.027, 95% CI:1.636-2.513), and elevated C-reactive protein ( OR=1.007, 95% CI:1.003-1.012) were independent risk factors for BM, while greater gestational age at birth ( OR=0.946, 95% CI: 0.898-0.995) and higher hemoglobin levels ( OR=0.990, 95% CI:0.981-0.998) were protective factors for BM (all P<0.05). Based on these findings, a nomogram prediction model for neonatal BM was constructed and validated for accuracy. The AUC values of the nomogram model in the training and validation cohorts were 0.796 (95% CI: 0.750-0.843) and 0.781 (95% CI: 0.700-0.862), respectively. The Hosmer-Lemeshow goodness-of-fit test showed P>0.05 in both cohorts. The clinical decision curve analysis demonstrated good net benefit across most threshold ranges. Conclusions:Sepsis, convulsions, high maximum body temperature, and elevated C-reactive protein increase the risk of neonatal BM. The nomogram model constructed based on these factors, combined with gestational age and hemoglobin levels, provides a reference value for predicting the risk of neonatal BM.

Objective:To investigate the risk factors and construct a nomogram prediction model for neonatal bacterial meningitis (BM).Methods:A retrospective cohort study was conducted on 1 228 neonates who underwent lumbar puncture for cerebrospinal fluid examination in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital from December 2019 to February 2024. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 7∶3 using a computer program. Rank sum test or Chi-square tests were used to compare differences between the two cohorts. The subjects were divided into BM and non-BM groups based on the presence or absence of BM. Multivariate logistic regression analysis (forward stepwise regression method) was used in the training cohort to identify risk factors for BM. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-of-fit test were used to assess the discrimination and calibration of the model, respectively. Calibration curves were used to evaluate the accuracy of the model and to construct the nomogram. Internal validation was performed using the Bootstrap resampling method. Decision curve analysis was used to assess the clinical utility of the model. Results:Among the 1 228 neonates, 151 (12.3%) had BM. The training cohort included 859 neonates, of whom 106 (12.3%) had BM and 753 (87.7%) did not. The validation cohort included 369 neonates, of whom 45 (12.2%) had BM and 324 (87.8%) did not. The results of the multivariate logistic regression analysis in the training cohort showed that sepsis ( OR=4.446, 95% CI:2.583-7.653), convulsions ( OR=3.749, 95% CI:1.930-7.280), high maximum body temperature ( OR=2.027, 95% CI:1.636-2.513), and elevated C-reactive protein ( OR=1.007, 95% CI:1.003-1.012) were independent risk factors for BM, while greater gestational age at birth ( OR=0.946, 95% CI: 0.898-0.995) and higher hemoglobin levels ( OR=0.990, 95% CI:0.981-0.998) were protective factors for BM (all P<0.05). Based on these findings, a nomogram prediction model for neonatal BM was constructed and validated for accuracy. The AUC values of the nomogram model in the training and validation cohorts were 0.796 (95% CI: 0.750-0.843) and 0.781 (95% CI: 0.700-0.862), respectively. The Hosmer-Lemeshow goodness-of-fit test showed P>0.05 in both cohorts. The clinical decision curve analysis demonstrated good net benefit across most threshold ranges. Conclusions:Sepsis, convulsions, high maximum body temperature, and elevated C-reactive protein increase the risk of neonatal BM. The nomogram model constructed based on these factors, combined with gestational age and hemoglobin levels, provides a reference value for predicting the risk of neonatal BM.

Objective:To analyze the accuracy of nine estimation methods for umbilical venous catheterization (UVC) insertion depth in neonates.Methods:This prospective study enrolled neonates who underwent successful UVC placement in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital between September 2023 and October 2024. The standard catheter tip position was defined as the junction of the inferior vena cava and right atrium, with a deviation of ≤0.5 cm considered accurate. Patients were stratified by birth weight (BW) into three groups: <1 500 g, 1 500- 2 499 g, and ≥2 500 g. The actual UVC depth was compared with depths estimated using nine methods: Shukla formula, modified Shukla formula, JSS formula, BW formula, Tambasco formula, modified Tambasco formula, Dunn's nomogram, body surface measurement, and ultrasonographic measurement. Accuracy was evaluated using nonparametric tests and Bland-Altman agreement analysis.Results:The study included 111 neonates: 41 (36.9%) in the <1 500 g group, 55 (49.6%) in the 1 500-2 499 g group, and 15 (13.5%) in the ≥2 500 g group. In the <1 500 g group, accuracy rates ranged from 24% to 56%, with body surface measurement showing the highest accuracy (56%); the mean difference from actual depth was－0.073 cm, with 95% limits of agreement (LOA) of－1.764 to 1.618 cm. In the 1 500-2 499 g group, accuracy rate ranged from 15% to 51%, with the modified Tambasco formula being most accurate (51%); the mean difference was 0.113 cm (95%LOA:－1.558-1.783 cm). In the ≥2 500 g group, accuracy rate ranged from 0/15 to 10/15, with Dunn's nomogram being most accurate (10/15); the mean difference was－0.120 cm (95%LOA:－1.380-1.140 cm).Conclusions:The accuracy of the nine UVC depth estimation methods varied across different BW groups and among methods within the same group. Selection of an estimation method should be tailored to the neonate's birth weight.

Objective To explore and analyze the prescription patterns of Professor Zhou Min in treating primary liver cancer at different stages according to the China Liver Cancer Staging (CNLC) system. Methods The clinical records of outpatients with primary liver cancer treated by Professor Zhou Min were collected and entered into the Traditional Chinese Medicine Inheritance Support System (Version 2.50) to establish a database. Data mining methods such as frequency analysis, drug association analysis, and cluster analysis were employed, the pathogenesis of primary liver cancer the prescription patterns at different stages was explored and medication rules were analyzed according to Professor Zhou Min's experience in treating liver cancer at various CNLC stages. Results A total of 202 prescriptions from 113 patients with primary liver cancer were collected, involving 230 traditional Chinese medicines. The high-frequency drugs and drug combinations at each stage were identified. The drugs with higher frequencies at each stage included Fuling, Chenpi, Yiyiren, fried Baishu, and Fabanxia. For stage Ⅰ, high-frequency drugs also included Zhongjiefeng, Xiangfu, Jiangcan, and Jianghuang. For stages Ⅱ and Ⅲ, high-frequency drugs further encompassed Zhongjiefeng, Xianhecao, Banzhilian, Baihua Sheshecao, Jiangcan, Zeqi, Xiangfu, and Maidong. For stage Ⅳ, high-frequency drugs also include Maydis stigma, Huoxiang, fried Maiya, Jineijin, and fried Guya. The majority of the drugs were cold in nature, with sweet and bitter tastes being the most common, and their meridian tropism were mostly distributed in the spleen and stomach meridians. The drug combinations with higher frequencies at each stage were mostly derived from Sijunzi Decoction and Erchen Decoction. The drug efficacies were mainly heat-clearing and dampness-resolving. Cluster analysis screened out new prescriptions with unique characteristics at each stage. Conclusion By performing data mining on the prescriptions used by Professor Zhou Min in treating primary liver cancer at various CNLC stages through the Traditional Chinese Medicine Inheritance Platform, combined with his understanding of the pathogenesis and clinical experience of the disease, the pathogenesis characteristics of primary liver cancer are summarized as dampness-heat, phlegm, and toxin accumulation, as well as qi and yin deficiency. The basic treatment methods established are heat-clearing and dampness-resolving, spleen-invigorating and yin-nourishing, with an emphasis on strengthening the body resistance to eliminate pathogenic factors and stage-based treatment. Flexible prescriptions and medications are used for different complications.

ObjectiveTo investigate the impact of acute respiratory infections in children under 12 years old in Pudong New Area， Shanghai from 2019 to 2023. MethodsAcute respiratory infection samples of children under 12 years old from three sentinel hospitals in Pudong New Area， Shanghai from 2019 to 2023 were collected， and 42 respiratory infection pathogens， including influenza virus， adenovirus， parainfluenza virus， respiratory syncytial virus， human enterovirus/rhinovirus， human pulmonary virus， human bokavirus， coronavirus （229E， HKU1， NL63 and OC43）， and novel coronavirus， were detected with microfluidic chips. The situation of acute respiratory infections among outpatient and inpatient children in this area was analyzed for the before the implementation of non pharmacological intervention measures （2019.12‒2020.1）， during the period of non pharmacological intervention measures （2020.2‒2022.12）， and after non pharmacological intervention measures （2023.1‒2023.6）. ResultsFrom 2019 to 2023， a total of 1 770 samples were collected， and 445 pathogens were detected， with a detection rate of 25.14% （445/1 770）. The main pathogens detected during the study period were influenza virus： 8.70% （154/1 770）， respiratory syncytial virus： 4.41% （78/1 770）， human enterovirus/rhinovirus： 2.66% （47/1 770）， human adenovirus： 2.49% （44/1 770）， and parainfluenza virus： 2.20% （39/1 770）. Before the implementation of non pharmacological intervention measures， outpatients were primarily infected with influenza， parainfluenza virus， and respiratory syncytial virus， with detection rates of 8.09%， 4.49%， and 4.04%， respectively； inpatients were mainly infected with influenza， respiratory syncytial virus， and parainfluenza virus， with detection rates of 4.49%， 3.82%， and 3.15%， respectively. During the period of non pharmacological intervention measures， influenza， rhinovirus and respiratory syncytial virus were the main viruses detected in the samples of outpatient children， with detection rates of 4.04%， 3.60%， and 2.47%， respectively； inpatient samples mainly detected respiratory syncytial virus， rhinovirus， and influenza virus， with detection rates of 3.60%， 2.02%， and 1.80%， respectively. After non pharmacological intervention measures， influenza， rhinovirus and respiratory syncytial virus were the main pathogens detected in the outpatients， with detection rates of 9.89%， 2.92% and 2.02%， respectively； influenza， respiratory syncytial virus， and rhinovirus were the main pathogens detected in inpatient children， with detection rates of 6.29%， 1.57%， and 1.35%， respectively. ConclusionThe prevalence of pathogens related to acute respiratory infections in children is influenced by non pharmacological preventive measures.

Objective To explore the relationship between amyloid A(SAA)/C-reactive protein(CRP)and airway inflammation and disease severity in children with acute exacerbation of bronchial asthma.Methods A total of 82 children with acute exacerbation of bronchial asthma admitted to Anhui Provincial Children's Hospital from July 2020 to July 2023 were selected as the study objects,and were divided into mild group(23 cases)and moderate and severe group(59 cases)according to the disease severity at admission.SAA/CRP and airway inflammation indicators[interleukin-6(IL-6),procalcitonin(PCT)]in the two groups were compared.Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of SAA/CRP for the disease severity of children with acute exacerbation of bronchial asthma,and multivariate Logistic stepwise regression analysis was used to explore the influencing factors for the disease severity of children with acute exacerbation of bronchial asthma.Results The serum levels of IL-6 and PCT in the mild group were lower than those in the moderate and severe group(P＜0.05),and the serum SAA,CRP and SAA/CRP in the mild group were lower than those in the moderate and severe group(P＜0.05).SAA/CRP was positively correlated with IL-6 and PCT levels in children with acute exacerbation of bronchial asthma(r=0.317,0.324,P=0.010,0.001).The area under the curve of SAA,CRP and SAA/CRP for diagnosing the disease severity of children with acute exacerbation of bronchial asthma were 0.854,0.753 and 0.916,re-spectively.Family history of asthma(OR=3.622,95％CI:1.556～8.430),asthma control test score(OR=4.175,95％CI:1.652-10.550),SAA/CRP(OR=5.254,95％CI:2.108-13.097)were the risk factors for children with acute exacerbation of bronchial asthma(P＜0.05).Conclusion The SAA/CRP in children with acute exacerbation of bronchial asthma is related to airway inflammation,and has a certain value in evaluating the disease severity of children with acute exacerbation of bronchial asthma.

Aim To investigate the effects of bone-forming protein BMP9 on aerobic glycolysis,migration and invasion ability in triple-negative breast cancer MDA-MB-231 cells and the underlying mechanisms.Methods The experimental group infected MDA-MB-231 cells with human BMP9 recombinant adenovirus(AdBMP9),while the control group infected cells with empty GFP adenovirus.Lactate,glucose and ATP as-say kits were used to detect glucose uptake,lactate and ATP production.The correlation between BMP9 and key glycolytic enzyme genes in pancarcinoma was ana-lyzed using GEPIA2 database.The mRNA expression levels of GLUT1,HK2,PKM2 and LDHA in MDA-MB-231 cells after overexpression of BMP9 were detec-ted by qRT-PCR.Potential targets of BMP9 inhibiting MDA-MB-231 aerobic glycolysis were analyzed in STRING database.The expression levels of HIF-1αand downstream protein were detected by Western blot.The changes of cell migration and invasion ability after different treatments were evaluated by the scratch heal-ing assay and Transwell assay.Results Compared with the control group,BMP9 down-regulated glucose uptake,lactate production,ATP level(P＜0.01),and inhibited HIF-1α and its downstream protein ex-pression in MDA-MB-231 cells.Overexpression of HIF-1α in rescue experiment reversed the inhibitory effect of BMP9 on aerobic glycolysis,migration and in-vasion of MDA-MB-231 breast cancer cells.Conclu-sion BMP9 down-regulates HIF-1α to inhibit the aer-obic glycolysis and migration and invasion ability of MDA-MB-231 breast cancer cells.

Aim To investigate the effects of autophagy regula-ted by LncRNA SNHG3 on the proliferation,migration,invasion and EMT of human breast cancer cell line MCF-7.Methods The expression of SNHG3 in breast cancer and breast cancer cell line MCF-7 was analyzed by bioinformatics and real-time fluores-cent quantitative PCR(RT-qPCR);RNAi technology was used to construct MCF-7 recombinant cell lines with knockdown SNHG3(siSNHG3)and control(siNC),and Western blot and cellular immunofluorescence were applied to detect autophagy markers;autophagosome lysosomal fusion inhibitor BafA1 or ear-ly autophagosome formation inhibitor 3-MA was employed to treat MCF-7 cells with or without SNHG3 knockdown,Western blot was used to detect the expression of LC3-Ⅱ or p62,and the effect on autophagic vesicle formation or autophagic degradation was observed;clone formation experiment,CCK8 experiment,wound healing experiment,and Transwell experiment were used to detect the effects of siSNHG3 combined or not combined with BafA1 or 3-MA on the proliferation,lateral migration,longitudi-nal migration,and invasion of MCF-7 cells.Western blot was used to detect its effect on the EMT of MCF-7 cells.Results Bioinformatics analysis and RT-qPCR confirmed that SNHG3 was highly expressed in breast cancer and breast cancer cell line MCF-7;Western blot and cellular immunofluorescence confirmed that knockdown of SNHG3 could activate autophagy in breast cancer;the clone formation,CCK-8,wound healing,and Tran-swell experiment confirmed that downregulation of SNHG3 ex-pression could inhibit tumor proliferation,migration,and inva-sion by activating autophagy;Western blot confirmed that SNHG3 promoted EMT process of breast cancer through negative regulation of autophagy.Conclusions SNHG3 is abnormally overexpressed in breast cancer and negatively regulates autoph-agy,and can enhance the proliferation,migration,invasion and EMT process of breast cancer cells through negatively regulating autophagy,suggesting that SNHG3 is a potential target for diag-nosis and treatment of breast cancer.